Inductive Deductive Synthesis: Enabling AI to

Generate Formally Verified Systems

https://arxiv.org/pdf/2605.23109

This paper is pretty cool.

They more-or-less use a proof checker (Rocq, a successor to Coq) as a tool in their agent loop during implementation, instead of turning to verification only at the end. The proof-checker generates structured output clarifying bugs in each stage of the implemenation (rather like a compiler in an ordinary coding assistant), which gets fed back into the prompt for the next stage of the agent-loop.

They use an analogy to chain-of-thought, except the intermediate states are formally verified, with “holes/need to fill this gap” output from the proof assistant rather than just plausible-sounding text inserted into the prompt for the next pass.

One still has to generate a Rocq spec as input — abstract data types, operation signatures, and axioms that specify the behavior of those operations (post-conditions, basically), but then the system produces a verified implementation prototype in Ocaml.

They are looking at using Verus, instead of Rocq as the proof assistant back end, which would produce Rust instead of Ocaml.

#formalverification
#distributedsystems
#rocq #ai #codeassistant

Как избежать 7 критических ошибок при переходе на микросервисы

Микросервисы обещают масштабирование и независимость команд, но чаще ломают систему медленнее монолита. Почему? В статье разбираем семь архитектурных ошибок, которые можно встретить в реальных системах: выбор по моде, shared database, игнорирование network latency, операционная сложность на потом, слишком мелкая декомпозиция, отсутствие стратегии consistency, недооценка сроков миграции. Разобрать ошибки

https://habr.com/ru/companies/otus/articles/1031278/

#микросервисы #архитектура #backend #distributedsystems #designpatterns #javakotlin #масштабирование

Your org chart may be designing your software more than your architects are.

Learn how to help teams diagnose architecture at the source.

https://jeffbailey.us/blog/2026/05/13/how-do-i-use-conways-law/

#SoftwareArchitecture #ConwaysLaw #TechnicalLeadership #SystemsThinking #TeamTopologies #DistributedSystems #Architecture

Stragglers vs. Failures - Do you know the difference?

➤ A failure is a request that doesn't complete.
➤ A straggler is a request that completes but takes too long - often caused by a backend garbage collection (GC) pause, a hot partition, or a kernel scheduling blip.

From the caller's perspective, both damage p99. However, they require fundamentally different architectural solutions.

Read Prathamesh Bhope's #InfoQ article for a deeper dive: https://bit.ly/4uDWKg1

#DistributedSystems #CloudComputing #SoftwareEngineering #Performance

#Uber updated its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model.

By moving from hand-crafted features to a transformer-based sequence model, the system reduces feature freshness latency from ~24 hours to seconds.

🔗 Learn more about the update and the architecture behind it on #InfoQ ⇨ https://bit.ly/4dCly1K

#SoftwareArchitecture #DistributedSystems #MachineLearning #MLOps

Raft Consensus with a Minority of Nodes

https://padhye.org/raft-minority/

#HackerNews #Raft #Consensus #DistributedSystems #ConsensusAlgorithms #NodeMinority

Working on something outside the usual AI paradigm sharing a preliminary note, not a "Eurkea".

The project (Aleph) explores whether biological organizational principles can replace neural architectures for embedded AI. No weights, no pre-training, no LLM. The core question: do the same solutions biology found over billions of years: specialization, quiescence, emergent coordination translate to digital systems?

Methodology follows Telesio's empirical approach: observation before theory, measurement before assertion. Every behavior in this post has a log file and a timestamp.

One verified result worth sharing:

Three independent components: a health monitor, a kernel, and an audio output organ — have no knowledge of each other. No shared state, no direct communication. When the watchdog process dies, the system emits a 220Hz tone. No explicit rule produces this. It emerges from composition.

This is weak emergence: predictable by reading the code. Not strong emergence. The distinction matters and we're not overstating it.

Current stack: Rust, Alpine Linux, SQLite, Unix sockets. Hardware: Dell Inspiron i5, 3.7GB RAM. ~452KB binary binary. ~39°C at rest.

What we don't know yet: whether this approach scales, whether the Bayesian learning converges usefully, whether the biological clock model holds across real day/night cycles.

#rustlang #embeddedsystems #ai #distributedsystems

GitHub: The Distributed Single Point of Failure.

#spof #distributedsystems #github

love reading books on distributed systems. Quite a few of them shares and advice, which can be summarized to:

*First check if someone else made it. Often it has and by people smarter than you. *

Often this is very, very true. You should still implement it for fun. But for production, it is often (almost always) beneficial to use something that is tested in the field.
This is by the way not limited to distributed systems.
#programming #systemdevelopment #systemarchitecture #distributedsystems